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ORCIDLu Wang 0008
王璐
Person information
- affiliation: University of Michigan, Computer Science and Engineering, Ann Arbor, MI, USA
- affiliation (former): Northeastern University, College of Computer Sciences, Boston, MA, USA
- affiliation (former): Cornell University, Department of Computer Science, Ithaca, NY, USA
- unicode name: 王璐
Other persons with the same name
- Lu Wang — disambiguation page
- Lu Wang 0001
![[0000-0003-2669-3522]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2669-3522")
— Northeastern University, College of Information Science and Engineering, Shenyang, China (and 2 more) - Lu Wang 0002 — Shenzhen University, College of Computer Science and Software Engineering, China (and 2 more)
- Lu Wang 0003 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 2 more)
- Lu Wang 0004 — University of Houston, TX, USA (and 3 more)
- Lu Wang 0005 — University of Southampton, Faculty of Engineering and the Environment, UK
- Lu Wang 0006 — KTH Royal Institute of Technology, Centre for Autonomous Systems and the Computer Vision and Active Perception Lab, Stockholm, Sweden
- Lu Wang 0007 — Shandong University, Department of Computer Science, China
- Lu Wang 0009 — Anhui University of Technology, Department of Mechanical Engineering, China
- Lu Wang 0010 — Harbin Engineering University, Harbin, China (and 1 more)
- Lu Wang 0011 — Arizona State University, Tempe, USA
- Lu Wang 0012 — University of Rennes 1, LTSI, France (and 2 more)
- Lu Wang 0013 — University of Southern California, Department of Computer Science, Los Angeles, CA, USA
- Lu Wang 0014 — Xidian University, Software Engineering Institute, Xi'an, China
- Lu Wang 0015 — Central South University, Department of Statistics, Changsha, China (and 1 more)
- Lu Wang 0016 — Northwestern Polytechnical University, School of Aeronautics, Xi'an, China
- Lu Wang 0017 — Southwest Jiaotong University, College of Mathematics, Chengdu, China
- Lu Wang 0018 — University of International Business and Economics, Research Institute for Shenzhen, China (and 2 more)
- Lu Wang 0019 — Ghent University, Department of Electronics and Information Systems, Belgium (and 1 more)
- Lu Wang 0020 — Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Lu Wang 0021 — Wuhan University, School of Resource and Environment Sciences, China
- Lu Wang 0022 — University of Sheffield, Department of Electronic and Electrical Engineering, UK
- Lu Wang 0023 — Zhejiang University of Finance and Economics, School of Information Management and Artificial Intelligence, Hangzhou, China
- Lu Wang 0024 — Qinghai University, State Key Laboratory of Plateau Ecology and Agriculture, Xining, China
- Lu Wang 0025 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Lu Wang 0026 — China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China
- Lu Wang 0027 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China
- Lu Wang 0028 — Delft University of Technology, TU Delft, Department of Electrical Sustainable Energy, DCE&S group, Netherlands
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2020 – today
- 2024
[c103]Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll:
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. AAAI 2024: 21099-21106- [c102]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. ACL (Findings) 2024: 1638-1662 - [c101]Inderjeet Nair, Lu Wang:
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning. ACL (1) 2024: 7047-7065 - [c100]Farima Fatahi Bayat, Xin Liu, H. V. Jagadish, Lu Wang:
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression. ACL (Findings) 2024: 12388-12400 - [c99]Shuyang Cao, Lu Wang:
Verifiable Generation with Subsentence-Level Fine-Grained Citations. ACL (Findings) 2024: 15584-15596 - [c98]Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang:
Small Language Models Need Strong Verifiers to Self-Correct Reasoning. ACL (Findings) 2024: 15637-15653 - [c97]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. CIKM 2024: 4939-4947 - [c96]Katsumi Ibaraki, Winston Wu, Lu Wang, Rada Mihalcea:
Analyzing Occupational Distribution Representation in Japanese Language Models. LREC/COLING 2024: 959-973 - [c95]Kaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. ECAI 2024: 4471-4474 - [c94]Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. EMNLP (Findings) 2024: 3875-3891 - [c93]Joseph Peper, Wenzhao Qiu, Ryan Bruggeman, Yi Han, Estefania Chehade, Lu Wang:
Shoes-ACOSI: A Dataset for Aspect-Based Sentiment Analysis with Implicit Opinion Extraction. EMNLP (Findings) 2024: 15477-15490 - [c92]Xinliang Frederick Zhang, Nicholas Beauchamp, Lu Wang:
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives. EMNLP (Findings) 2024: 16507-16530 - [c91]Xin Liu, Muhammad Khalifa, Lu Wang:
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses. ICLR 2024 - [c90]Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong:
SELF-GUARD: Empower the LLM to Safeguard Itself. NAACL-HLT 2024: 1648-1668 - [c89]Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang:
MOKA: Moral Knowledge Augmentation for Moral Event Extraction. NAACL-HLT 2024: 4481-4502 - [c88]Shuyang Cao, Lu Wang:
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content. NAACL-HLT 2024: 5925-5941 - [c87]Joseph Peper, Wenzhao Qiu, Lu Wang:
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization. NAACL-HLT 2024: 7652-7674 - [c86]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Interpretable Imitation Learning with Dynamic Causal Relations. WSDM 2024: 967-975 - [i93]Lu Wang, Mayukh Das, Fangkai Yang, Junjie Sheng, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. CoRR abs/2401.07033 (2024) - [i92]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. CoRR abs/2401.07051 (2024) - [i91]Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Contrastive Learning with Negative Sampling Correction. CoRR abs/2401.08690 (2024) - [i90]Kaikai An, Fangkai Yang, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Qi Zhang:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. CoRR abs/2402.17531 (2024) - [i89]Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng:
Source-Aware Training Enables Knowledge Attribution in Language Models. CoRR abs/2404.01019 (2024) - [i88]Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang:
Small Language Models Need Strong Verifiers to Self-Correct Reasoning. CoRR abs/2404.17140 (2024) - [i87]Dapeng Li, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Qi Zhang, Zhiwei Xu, Bin Zhang, Guoliang Fan:
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning. CoRR abs/2404.17780 (2024) - [i86]Farima Fatahi Bayat, Xin Liu, H. V. Jagadish, Lu Wang:
LITO: Learnable Intervention for Truthfulness Optimization. CoRR abs/2405.00301 (2024) - [i85]Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll:
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. CoRR abs/2405.01677 (2024) - [i84]Inderjeet Nair, Lu Wang:
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning. CoRR abs/2405.05189 (2024) - [i83]Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Alois Knoll, Ming Jin:
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning. CoRR abs/2405.16390 (2024) - [i82]Shuyang Cao, Lu Wang:
Verifiable Generation with Subsentence-Level Fine-Grained Citations. CoRR abs/2406.06125 (2024) - [i81]Xin Liu, Farima Fatahi Bayat, Lu Wang:
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding. CoRR abs/2406.13230 (2024) - [i80]Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. CoRR abs/2406.13372 (2024) - [i79]Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. CoRR abs/2406.19251 (2024) - [i78]Junting Lu, Zhiyang Zhang, Fangkai Yang, Jue Zhang, Lu Wang, Chao Du, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. CoRR abs/2409.17140 (2024) - [i77]Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives. CoRR abs/2410.05558 (2024) - 2023
- [c85]Xin Liu, Muhammad Khalifa, Lu Wang:
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases. ACL (2) 2023: 186-200 - [c84]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Few-shot Reranking for Multi-hop QA via Language Model Prompting. ACL (1) 2023: 15882-15897 - [c83]Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. ASPLOS (3) 2023: 631-643 - [c82]Xinyi Lu, Simin Fan, Jessica Houghton, Lu Wang, Xu Wang:
ReadingQuizMaker: A Human-NLP Collaborative System that Supports Instructors to Design High-Quality Reading Quiz Questions. CHI 2023: 454:1-454:18 - [c81]Fangkai Yang, Pu Zhao, Zezhong Wang, Lu Wang, Bo Qiao, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. EMNLP (Industry Track) 2023: 294-312 - [c80]Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang:
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting. EMNLP (Findings) 2023: 621-632 - [c79]Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Merging Generated and Retrieved Knowledge for Open-Domain QA. EMNLP 2023: 4710-4728 - [c78]Winston Wu, Lu Wang, Rada Mihalcea:
Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales. EMNLP 2023: 5113-5125 - [c77]Naihao Deng, Xinliang Frederick Zhang, Siyang Liu, Winston Wu, Lu Wang, Rada Mihalcea:
You Are What You Annotate: Towards Better Models through Annotator Representations. EMNLP (Findings) 2023: 12475-12498 - [c76]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
GRACE: Discriminator-Guided Chain-of-Thought Reasoning. EMNLP (Findings) 2023: 15299-15328 - [c75]Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nicholas Beauchamp, Lu Wang:
All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. EMNLP 2023: 15472-15488 - [c74]Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen:
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. KDD 2023: 1010-1019 - [c73]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. KDD 2023: 3513-3524 - [c72]Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. KDD 2023: 3663-3673 - [c71]Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. KDD 2023: 5116-5125 - [c70]Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin, Dongmei Zhang:
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets. KDD 2023: 5372-5381 - [c69]Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin, Saravanakumar Rajmohan, Thomas Moscibroda, Dongmei Zhang:
Conservative State Value Estimation for Offline Reinforcement Learning. NeurIPS 2023 - [c68]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. ESEC/SIGSOFT FSE 2023: 1762-1773 - [c67]Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. ESEC/SIGSOFT FSE 2023: 2050-2055 - [c66]Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda:
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem. WWW (Companion Volume) 2023: 391-395 - [c65]Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. WWW 2023: 2927-2936 - [i76]Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin, Dongmei Zhang:
Conservative State Value Estimation for Offline Reinforcement Learning. CoRR abs/2302.06884 (2023) - [i75]Zezhong Wang, Fangkai Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin, Dongmei Zhang:
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. CoRR abs/2305.11541 (2023) - [i74]Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Introspective Tips: Large Language Model for In-Context Decision Making. CoRR abs/2305.11598 (2023) - [i73]Xin Liu, Muhammad Khalifa, Lu Wang:
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases. CoRR abs/2305.12018 (2023) - [i72]Qi Zeng, Mankeerat Sidhu, Hou Pong Chan, Lu Wang, Heng Ji:
Meta-review Generation with Checklist-guided Iterative Introspection. CoRR abs/2305.14647 (2023) - [i71]Naihao Deng, Siyang Liu, Xinliang Frederick Zhang, Winston Wu, Lu Wang, Rada Mihalcea:
You Are What You Annotate: Towards Better Models through Annotator Representations. CoRR abs/2305.14663 (2023) - [i70]Shuyang Cao, Lu Wang:
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content. CoRR abs/2305.14806 (2023) - [i69]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Discriminator-Guided Multi-step Reasoning with Language Models. CoRR abs/2305.14934 (2023) - [i68]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. CoRR abs/2306.07919 (2023) - [i67]Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. CoRR abs/2308.00279 (2023) - [i66]Chao Yang, Lu Wang, Kun Gao, Shuang Li:
Reinforcement Logic Rule Learning for Temporal Point Processes. CoRR abs/2308.06094 (2023) - [i65]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Exploring Demonstration Ensembling for In-context Learning. CoRR abs/2308.08780 (2023) - [i64]Bilgehan Sel, Ahmad Al-Tawaha, Vanshaj Khattar, Lu Wang, Ruoxi Jia, Ming Jin:
Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models. CoRR abs/2308.10379 (2023) - [i63]Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Diffusion-based Time Series Data Imputation for Microsoft 365. CoRR abs/2309.02564 (2023) - [i62]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Dynamic DAG Discovery for Interpretable Imitation Learning. CoRR abs/2310.00489 (2023) - [i61]Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Merging Generated and Retrieved Knowledge for Open-Domain QA. CoRR abs/2310.14393 (2023) - [i60]Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong:
Self-Guard: Empower the LLM to Safeguard Itself. CoRR abs/2310.15851 (2023) - [i59]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. CoRR abs/2310.18740 (2023) - [i58]Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang:
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting. CoRR abs/2310.18768 (2023) - [i57]Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nick Beauchamp, Lu Wang:
All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. CoRR abs/2310.18827 (2023) - [i56]Xin Liu, Muhammad Khalifa, Lu Wang:
LitCab: Lightweight Calibration of Language Models on Outputs of Varied Lengths. CoRR abs/2310.19208 (2023) - [i55]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. CoRR abs/2311.04254 (2023) - [i54]Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang:
MOKA: Moral Knowledge Augmentation for Moral Event Extraction. CoRR abs/2311.09733 (2023) - [i53]Joseph J. Peper, Wenzhao Qiu, Lu Wang:
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization. CoRR abs/2311.09836 (2023) - [i52]Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
TaskWeaver: A Code-First Agent Framework. CoRR abs/2311.17541 (2023) - 2022
- [j5]Lu Wang, Lei Han, Xinru Chen, Chengchang Li, Junzhou Huang, Weinan Zhang, Wei Zhang, Xiaofeng He, Dijun Luo:
Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5361-5373 (2022) - [c64]Xinyu Hua, Lu Wang:
Efficient Argument Structure Extraction with Transfer Learning and Active Learning. ACL (Findings) 2022: 423-437 - [c63]Shuyang Cao, Lu Wang:
HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization. ACL (1) 2022: 786-807 - [c62]Joseph Peper, Lu Wang:
Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure. EMNLP (Findings) 2022: 6089-6095 - [c61]Shuyang Cao, Lu Wang:
Time-aware Prompting for Text Generation. EMNLP (Findings) 2022: 7231-7246 - [c60]Changyuan Qiu, Winston Wu, Xinliang Frederick Zhang, Lu Wang:
Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis. EMNLP 2022: 9720-9736 - [c59]Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. EMNLP 2022: 9950-9969 - [c58]Yuanyuan Lei, Ruihong Huang, Lu Wang, Nick Beauchamp:
Sentence-level Media Bias Analysis Informed by Discourse Structures. EMNLP 2022: 10040-10050 - [c57]Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song:
Explaining Point Processes by Learning Interpretable Temporal Logic Rules. ICLR 2022 - [c56]Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification. IJCAI 2022: 2406-2412 - [c55]Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang:
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. KDD 2022: 4032-4040 - [c54]Xu Wang, Simin Fan, Jessica Houghton, Lu Wang:
Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs. NAACL-HLT 2022: 291-302 - [c53]Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nicholas Beauchamp, Lu Wang:
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. NAACL-HLT (Findings) 2022: 1354-1374 - [c52]Minghua Ma, Yudong Liu, Yuang Tong, Haozhe Li, Pu Zhao, Yong Xu, Hongyu Zhang, Shilin He, Lu Wang, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin:
An empirical investigation of missing data handling in cloud node failure prediction. ESEC/SIGSOFT FSE 2022: 1453-1464 - [c51]Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Iñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Spot Virtual Machine Eviction Prediction in Microsoft Cloud. WWW (Companion Volume) 2022: 152-156 - [i51]Shuyang Cao, Lu Wang:
HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization. CoRR abs/2203.10741 (2022) - [i50]Xinyu Hua, Lu Wang:
Efficient Argument Structure Extraction with Transfer Learning and Active Learning. CoRR abs/2204.00707 (2022) - [i49]Xu Wang, Simin Fan, Jessica Houghton, Lu Wang:
Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs. CoRR abs/2205.00355 (2022) - [i48]Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nick Beauchamp, Lu Wang:
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. CoRR abs/2205.00619 (2022) - [i47]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA. CoRR abs/2205.12650 (2022) - [i46]Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. CoRR abs/2211.01467 (2022) - [i45]Shuyang Cao, Lu Wang:
Time-aware Prompting for Text Generation. CoRR abs/2211.02162 (2022) - [i44]Changyuan Qiu, Winston Wu, Xinliang Frederick Zhang, Lu Wang:
Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis. CoRR abs/2211.02269 (2022) - [i43]Joseph J. Peper, Lu Wang:
Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure. CoRR abs/2211.07743 (2022) - [i42]Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. CoRR abs/2211.11759 (2022) - 2021
- [j4]Hou Pong Chan, Lu Wang, Irwin King:
Controllable Summarization with Constrained Markov Decision Process. Trans. Assoc. Comput. Linguistics 9: 1213-1232 (2021) - [c50]Xinyu Hua, Ashwin Sreevatsa, Lu Wang:
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. ACL/IJCNLP (1) 2021: 6408-6423 - [c49]Shuyang Cao, Lu Wang:
Controllable Open-ended Question Generation with A New Question Type Ontology. ACL/IJCNLP (1) 2021: 6424-6439 - [c48]